Development of measuring algorithm for slender objects in three-dimensional space using a self-organizing map

• MORIKAWA Toshihide

  京工繊大院

• MURATA Shigeru

  京工繊大

Bibliographic Information

Other Title

• B118 自己組織化マップを用いた棒状物体3次元計測アルゴリズムの開発
• ジコ ソシキカ マップ オ モチイタ ボウジョウ ブッタイ 3ジゲン ケイソク アルゴリズム ノ カイハツ

Abstract

This paper presents the clustering algorithm for detected points of slender objects in 3D space using a self-organizing map(SOM) and its test results in numerical simulations. In the 3D measurement of slender objects using digital holography, a lot of object points are detected for each slender object. The present method can identify the detected points for each object to know the object information, such as shape and inclination. The clustering performance is checked in numerical simulations. The simulations employ two different models in which the detected points are isotropically and linearly distributed in 3D space. The test results show that this algorithm can successfully identify several target clusters in 3D space.

Journal

• Journal of the Visualization Society of Japan

  Journal of the Visualization Society of Japan 26 (Supplement2), 113-116, 2006

  The Visualization Society of Japan

Keywords

• Slender objects
• Self-organizing map
• 3D measurement
• Digital holography
• clustering

Details

• CRID: 1390001204618288384
• NII Article ID: 10018247285
• NII Book ID: AN10374478
• DOI: 10.3154/jvs.26.supplement2_113
• ISSN: 1884037X
• ISSN: 09164731
• NDL BIB ID: 8516802
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I8516802
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed